Hydropower station project three-dimensional design communication equipment model evaluation method

Abstract

The invention discloses a hydropower station project three-dimensional design communication equipment model evaluation method. The method comprises the following steps: S1, obtaining all parameters in a three-dimensional design process; s2, calculating a prediction curve based on the prediction applicability weight coefficient of the optimal envelope; s3, calculating the average use frequency of parameters in the fitness observation period window; s4, calculating the fitness of each parameter; according to the method, the problems that the evaluation of the three-dimensional design communication equipment model is unclear in technical emphasis, unclear in required grading and inaccurate in grading quantification are solved.

Description

Technical Field

[0001] The invention relates to the field of three-dimensional design of hydropower station projects, in particular to a model evaluation method for communication equipment for three-dimensional design of hydropower station projects. Background Art

[0002] The 3D design of a hydropower station is a 3D simulation based on real scene data, and is widely used in the safe operation, inspection and maintenance of power systems such as hydropower station construction management, fault repair, and safety monitoring. The refinement of the 3D design review of hydropower station projects is the development direction of the 3D design review technology of hydropower station projects. With the construction of the review index system, the qualitative and quantitative evaluation of the 3D design review of hydropower stations is realized, which plays an important role in discovering the problems existing in the 3D design process of hydropower station engineering equipment, improving the 3D design level of hydropower station projects, and promoting the in-depth application of 3D design technology in engineering construction.

[0003] At present, in the process of 3D design review of hydropower station projects, the design principle of the scoring method is based on qualitative scoring and quantitative scoring calculation. However, the quantitative scoring adopts a unified assessment of whether each three-level evaluation indicator meets the technical requirements, and the weight of each three-level evaluation indicator is evenly distributed. As a result, the evaluation of the 3D design communication equipment model has unclear technical emphasis, unclear requirement classification, and inaccurate scoring quantification. Summary of the invention

[0004] The purpose of the present invention is to overcome the above-mentioned shortcomings and provide a method for evaluating a model of communication equipment for three-dimensional design of a hydropower station project to solve the problems raised in the background technology.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: a method for evaluating a communication equipment model for a hydropower station project in three-dimensional design, which comprises the following steps:

[0006] S1. Obtain all parameters in the 3D design process;

[0007] S2, calculating the prediction curve based on the prediction suitability weight coefficient of the best envelope;

[0008] S3, calculating the average usage frequency of parameters within the fitness observation period window;

[0009] S4. Calculate the fitness of each parameter.

[0010] Preferably, the specific process of S1 is as follows:

[0011] Assume that the total number of parameters describing the three-dimensional design communication equipment model of the hydropower station project is N, and the i-th parameter is labeled as P i (i=1,...,N), parameter P i The frequency of use is ki , parameter P i The number of times the model can be visualized is e i , the set of parameters used in the generated curve that exceeds the average frequency is H i , there exists an irregular mapping P i →H i , and called H i is a strong correlation parameter, H i Contains n elements.

[0012] Preferably, the specific process of S2 is as follows:

[0013] Defining applicability weights For the parameter set P i Frequency of use k i , calculate the parameter ratio weight according to the formula Define the function y=f(x) passing through the point set (i,k i ), that is, the piecewise linear function y = f(x), then the piecewise function contains N-1 linear functions; according to the minimum tangent principle of the curve, the linear function set is integrated and the piecewise function curve is y l =f l (x).

[0014] Preferably, the specific process of S3 is as follows:

[0015] Calculate the parameter ratio weight according to the formula Define the weights of strong correlation parameters and other parameters as (Nn):n; define the average usage frequency of parameters in the fitness observation period window as m, and calculate the average usage frequency of parameters in the fitness observation period window according to the formula:

[0016] Preferably, the specific process of S4 is as follows:

[0017] Defining applicability weights For the i-th parameter P in the parameter set i , define its fitness as F i , and calculate the fitness according to the formula

[0018] Beneficial effects of the invention: The invention solves the problems of unclear technical emphasis, unclear requirement classification, and inaccurate scoring quantification in the evaluation of three-dimensional design communication equipment models. Compared with general technologies, the invention obtains all parameters in the three-dimensional design process on the basis of fully considering data discrimination and data category classification, calculates the prediction curve based on the prediction suitability weight coefficient of the optimal envelope, calculates the average usage frequency of the parameters in the fitness observation period window, and calculates the fitness of each parameter. It clarifies the technical emphasis of the three-dimensional design review process of hydropower station projects, makes the parameter categories clear, and the scoring quantification accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0020] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] Example 1: Figure 1 As shown, a method for evaluating a communication equipment model for a hydropower station project 3D design comprises the following steps:

[0022] S1. Obtain all parameters in the 3D design process;

[0023] Assume that the total number of parameters describing the three-dimensional design communication equipment model of the hydropower station project is N, and the i-th parameter is labeled as P i (i=1,...,N), parameter P i The frequency of use is k i , parameter P i The number of times the model can be visualized is e i , the set of parameters used in the generated curve that exceeds the average frequency is H i , there exists an irregular mapping P i →H i , and called H i is a strong correlation parameter, H i Contains n elements.

[0024] S2, calculating the prediction curve based on the prediction suitability weight coefficient of the best envelope;

[0025] Defining applicability weights For the parameter set P i Frequency of use k i , calculate the parameter ratio weight according to the formula Define the function y=f(x) passing through the point set (i,k i), that is, the piecewise linear function y = f(x), then the piecewise function contains N-1 linear functions; according to the minimum tangent principle of the curve, the linear function set is integrated and the piecewise function curve is y l =f l (x).

[0026] S3, calculating the average usage frequency of parameters within the fitness observation period window;

[0027] Calculate the parameter ratio weight according to the formula Define the weights of strong correlation parameters and other parameters as (Nn):n; define the average usage frequency of parameters in the fitness observation period window as m, and calculate the average usage frequency of parameters in the fitness observation period window according to the formula:

[0028] S4. Calculate the fitness of each parameter.

[0029] Defining applicability weights For the i-th parameter P in the parameter set i , define its fitness as F i , and calculate the fitness according to the formula

[0030] The above embodiments are only preferred technical solutions of the present invention and should not be regarded as limiting the present invention. The protection scope of the present invention shall be the technical solutions recorded in the claims, including equivalent replacement solutions of the technical features in the technical solutions recorded in the claims. That is, equivalent replacement improvements within this scope are also within the protection scope of the present invention.

Claims

1. A method for evaluating a communication equipment model for a hydropower station project in three-dimensional design, characterized in that: It includes the following steps: S1. Obtain all parameters in the 3D design process; S2, calculating the prediction curve based on the prediction suitability weight coefficient of the best envelope; S3, calculating the average usage frequency of parameters within the fitness observation period window; S4. Calculate the fitness of each parameter.

2. A method for evaluating a communication equipment model for a hydropower station project in three-dimensional design according to claim 1, characterized in that: The specific process of S1 is as follows: Assume that the total number of parameters describing the three-dimensional design communication equipment model of the hydropower station project is N, and the i-th parameter is labeled as P i (i=1,...,N), parameter P i The frequency of use is k i , parameter P i The number of times the model can be visualized is e i , the set of parameters used in the generated curve that exceeds the average frequency is H i , there exists an irregular mapping P i →H i , and called H i is a strong correlation parameter, H i Contains n elements.

3. A method for evaluating a communication equipment model for a hydropower station project in three-dimensional design according to claim 2, characterized in that: The specific process of S2 is as follows: Defining applicability weights For the parameter set P i Frequency of use k i , calculate the parameter ratio weight according to the formula Define the function y=f(x) passing through the point set (i,k i ), that is, the piecewise linear function y = f(x), then the piecewise function contains N-1 linear functions; according to the minimum tangent principle of the curve, the linear function set is integrated and the piecewise function curve is y l =f l (x).

4. A method for evaluating a communication equipment model for a hydropower station project in three-dimensional design according to claim 3, characterized in that: The specific process of S3 is as follows: Calculate the parameter ratio weight according to the formula Define the weights of strong correlation parameters and other parameters as (Nn):n; define the average usage frequency of parameters in the fitness observation period window as m, and calculate the average usage frequency of parameters in the fitness observation period window according to the formula:

5. A method for evaluating a hydropower station project three-dimensional design communication equipment model according to claim 4, characterized in that: The specific process of S4 is as follows: Defining applicability weights For the i-th parameter P in the parameter set i , define its fitness as F i , and calculate the fitness according to the formula

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